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How To Drive Value with Security Data – The Full Talk

published on 2021-06-12 20:00:24 UTC by Raffael Marty
Content:

Last week I keynoted LogPoint’s customer conference with a talk about how to extract value from security data. Pretty much every company out there has tried to somehow leverage their log data to manage their infrastructure and protect their assets and information. The solution vendors have initially named the space log management and then security information and event management (SIEM). We have then seen new solutions pop up in adjacent spaces with adjacent use-cases; user and entity behavior analytics (UEBA) and security orchestration, automation, and response (SOAR) platforms became add-ons for SIEMs. As of late, extended detection and response (XDR) has been used by some vendors to try and regain some of the lost users that have been getting increasingly frustrated with their SIEM solutions and the cost associated for not the return that was hoped for.

In my keynote I expanded on the logging history (see separate post). I am touching on other areas like big data and open source solutions as well and go back two decades to the origins of log management. In the second section of the talk, I shift to the present to discuss some of the challenges that we face today with managing all of our security data and expand on some of the trends in the security analytics space. In the third section, we focus on the future. What does tomorrow hold in the SIEM / XDR / security data space? What are some of the key features we will see and how does this matter to the user of these approaches.

Enjoy the video and check out the slides below as well:

The post How To Drive Value with Security Data – The Full Talk first appeared on Cyber Security - Strategy and Innovation.

Article: How To Drive Value with Security Data – The Full Talk - published almost 3 years ago.

https://raffy.ch/blog/2021/06/12/how-to-drive-value-with-security-data-the-full-talk/   
Published: 2021 06 12 20:00:24
Received: 2023 01 19 19:41:16
Feed: Security Intelligence and Big Data
Source: Security Intelligence and Big Data
Category: Cyber Security
Topic: Cyber Security
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